Eliminate blind spots.
Diversify existing datasets by adding unique edge-case scenarios involving complex VRU behaviours.
Practice makes perfect.
Machine learning based VRU agents interact directly with vehicle under test, saving you the equivalent of hundreds of thousands of hours on the road.
See the bigger picture.
Ensure coverage with our scenarios and behaviour models. Extract parameters and KPI to evaluate effectiveness.
Never compromise.
Safety is what currently holds driverless cars back. And that is why it is our number one priority.
We test for safety by running those scenarios against a verification plan and iterating on them with a range of different parameters.
Our versatile and comprehensive simulations are easy to evaluate and monitor.
Our scenario datasets can be replayed within your simulation stack in a number of industry-standard formats.
Our behaviour models can be directly integrated inside your simulations with various co-simulation protocols and operate within the loop.
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